Recommendation : 1. Reduce the impact of data from its storage and access
Are EXPLAIN clauses used on "Slow queries" to optimize indexes ?
Data
C People
A Planet
B Prosperity
Difficulty
N/A
Priority
/
Récurrence
/
Tests
Are the criteria for identifying a slow query clearly defined?
Precisions
Most DBMS engines have a supervision mode as standard which allows the identification of the most resource-intensive actions. Some DBMS provide methods for investigating processes identified as "heavy". This helps to identify areas for improvement to reduce the time and cost of operations.
Additional elements
Rule for assessing the level of compliance of the criterion
0 / 0
Life cycle
Réalisation
19 other criteria related to the recommendation: Reduce the impact of data from its storage and access
Data
Is the number of requests kept to a minimum (no looping) ?
Data
Is an alternative to SQL queries used when possible (local storage or similar) ?
Data
Do implemented queries use joins rather than multiple queries ?
Data
Can data be backed up incrementally ?
Data
Is the removal of obsolete data being managed ?
Data
Are database indexes consistent with operations ?
Data
Is an alternative to the relational model being considered ?
Data
Is a NoSql solution more efficient than its relational equivalent ?
Data
Have the different data access solutions (queries, triggers, stored procedures) been tested ?
Data
Are the slow query detection thresholds set effectively ?
Data
Are "live" and "dead" data handled differently (eg: Slow storage for "dead" data) ?
Data
Is frequently accessed data available in RAM ?
Data
Are data replications between multiple Database Engine (Cluster) instances appropriate for sensitivity and availability requirement ?
Data processing
Does the data have an expiration date when it is deleted ?
Data processing
Is sensitive data collected ?
Data processing
Is the data collected really useful ?
Data processing
Does the API provide limits, filters and the list of fields to return ?
security
Is sensitive user data secure ?
Data processing
Does regulated data (personal, health, financial) comply with the recommendations for structuring these categories of data ?